Research on the Calibration Method of MEMS Accelerometer Based on Recursive Least Squares

Abstract

The calibration of MEMS accelerometer system error parameters need a large amount of sampling point. In order to reduce the sampling points, this paper proposes a calibration method based on recursive least square (RLS) estimation. First establish the error model of accelerometer and then carried out the simulation experiment under the condition of considering external noise. The results show that compared with the traditional calibration method, this calibration method has higher calibration accuracy and reduces the calibration time. The experimental results show that the proposed method has certain engineering value.